package com.ayu.flink.wordcount;

import org.apache.flink.api.common.typeinfo.Types;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.util.Collector;

import java.util.Arrays;

/**
 * @Author: 徐林玉//作者及
 * @Date: 2022/3/21//完成日期
 * @Description: //
 * @Version: v0.0.1 // 版本信息
 * @Function List: // 主要函数及其功能
 * @Others: // 其它内容的说明
 * @History: // 历史修改记录
 **/
public class StreamWordCount
{

	public static void main(String[] args) throws Exception
	{

		//1、创建流式执行环境
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

		//2、读取文本流
		DataStreamSource<String> lineDSS = env.socketTextStream("flink102", 7777);
		//3、转换数据格式
		SingleOutputStreamOperator<Tuple2<String, Long>> wordAndOne = lineDSS.flatMap((String line, Collector<String> words) -> {
			Arrays.stream(line.split(" ")).forEach(words::collect);
		}).returns(Types.STRING).map(word -> Tuple2.of(word, 1L)).returns(Types.TUPLE(Types.STRING, Types.LONG));

		//4、分组
		KeyedStream<Tuple2<String, Long>, String> wordAndOneKS = wordAndOne.keyBy(t -> t.f0);

		//5、求和
		SingleOutputStreamOperator<Tuple2<String, Long>> result = wordAndOneKS.sum(1);

		//6、打印
		result.print();

		//7、执行
		env.execute();

	}

}
